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Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion
  Attacks in Deep RL
v1v2v3v4v5 (latest)

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL

9 June 2021
Yanchao Sun
Ruijie Zheng
Yongyuan Liang
Furong Huang
    AAML
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL"

38 / 38 papers shown
Title
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi
Akihiro Kubo
Yuji Yasui
Shin Ishii
AAMLOffRL
21
0
0
20 Jun 2025
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Xue Zhou
Dapeng Man
Chen Xu
Fanyi Zeng
Tao Liu
Huan Wang
Shucheng He
Chaoyang Gao
Wu Yang
OffRL
25
0
0
12 Jun 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted
  Behaviors
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Fengshuo Bai
Runze Liu
Yali Du
Ying Wen
Yaodong Yang
AAML
130
5
0
14 Dec 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via
  Vector Quantization
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
Tung M. Luu
Thanh Nguyen
Tee Joshua Tian Jin
Sungwoon Kim
Chang D. Yoo
AAML
83
0
0
04 Oct 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
Kosuke Nakanishi
Akihiro Kubo
Yuji Yasui
Shin Ishii
81
0
0
31 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement
  Learning
On the Perturbed States for Transformed Input-robust Reinforcement Learning
Tung M. Luu
Haeyong Kang
Matthew Groh
Thanh Nguyen
Chang D. Yoo
OODAAMLOffRL
71
0
0
31 Jul 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL
  Agents
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun
Sicun Gao
Tsui-Wei Weng
AAML
57
4
0
26 Jun 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with
  Adversarial Attacks and Defenses
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
Thanh Nguyen
Tung M. Luu
Tri Ton
Chang D. Yoo
OffRLAAML
84
0
0
18 May 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State
  Perturbations
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun
Zizhan Zheng
OnRL
70
1
0
06 Mar 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via
  Non-dominated Policies
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu
Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
AAML
81
6
0
20 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman
  Infinity-error
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
Haoran Li
Zicheng Zhang
Wang Luo
Congying Han
Yudong Hu
Tiande Guo
Shichen Liao
AAML
135
2
0
03 Feb 2024
Camouflage Adversarial Attacks on Multiple Agent Systems
Camouflage Adversarial Attacks on Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
62
1
0
30 Jan 2024
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
76
4
0
14 Dec 2023
Optimal Attack and Defense for Reinforcement Learning
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan
Young Wu
Xiaojin Zhu
Qiaomin Xie
AAMLOffRL
64
10
0
30 Nov 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
55
2
0
01 Nov 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan
Yize Chen
Fangzhen Lin
OffRL
82
12
0
06 Oct 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled
  Perturbations
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Xiangyu Liu
Benjamin Eysenbach
Tuomas Sandholm
Furong Huang
Stephen Marcus McAleer
OOD
91
0
0
22 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy
  Execution Uncertainty
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
Guanin Liu
Zhihan Zhou
Han Liu
Lifeng Lai
61
2
0
15 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
58
8
0
03 Jul 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Ziyuan Zhou
Guanjun Liu
AAML
76
8
0
09 Jun 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
75
5
0
27 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary
  adversarial attackers
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
88
17
0
10 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
83
2
0
07 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
79
1
0
04 May 2023
Regret-Based Defense in Adversarial Reinforcement Learning
Regret-Based Defense in Adversarial Reinforcement Learning
Roman Belaire
Pradeep Varakantham
Thanh Nguyen
David Lo
AAML
49
3
0
14 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
  Minority Influence
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
AAML
120
16
0
07 Feb 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract
  Interpretation
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation
Chenxi Yang
Greg Anderson
Swarat Chaudhuri
65
1
0
26 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
66
6
0
11 Jan 2023
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Christian Scano
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
73
4
0
12 Dec 2022
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
87
16
0
20 Nov 2022
Distributional Reward Estimation for Effective Multi-Agent Deep
  Reinforcement Learning
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Jifeng Hu
Yanchao Sun
Hechang Chen
Sili Huang
Haiyin Piao
Yi-Ju Chang
Lichao Sun
66
5
0
14 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware
  Robust Reinforcement Learning
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OODAAMLOffRL
48
51
0
12 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Yue Liu
Ding Zhao
175
47
0
16 Sep 2022
Illusory Attacks: Information-Theoretic Detectability Matters in
  Adversarial Attacks
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks
Tim Franzmeyer
Stephen McAleer
João F. Henriques
Jakob N. Foerster
Philip Torr
Adel Bibi
Christian Schroeder de Witt
AAML
78
8
0
20 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in
  Multi-agent Systems
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
Soheil Feizi
Sumitra Ganesh
Furong Huang
AAML
82
10
0
21 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu
Zijian Guo
Zhepeng Cen
Huan Zhang
Jie Tan
Yue Liu
Ding Zhao
OODOffRL
100
37
0
29 May 2022
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang
Linan Huang
Quanyan Zhu
99
71
0
02 Jul 2021
CROP: Certifying Robust Policies for Reinforcement Learning through
  Functional Smoothing
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Yue Liu
AAMLOffRL
85
61
0
17 Jun 2021
1